Storage AI Expert

We are seeking a Storage AI Expert to join our team in Bengaluru, Karnataka, India. This is a hybrid role that requires working 2 days a week from an HPE office.

As a Storage AI Expert, you will design and build production-grade AI and Generative AI solutions using large language models (LLMs). You will develop AI agents, copilots, and workflow automation systems that improve user productivity and business outcomes. You will also implement Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise knowledge sources.

Responsibilities:

• Design and build production-grade AI and Generative AI solutions using large language models (LLMs).
• Develop AI agents, copilots, and workflow automation systems that improve user productivity and business outcomes.
• Implement Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise knowledge sources.
• Fine-tune, evaluate, and optimize machine learning and foundation models for accuracy, performance, safety, and cost.
• Build scalable APIs, services, and platforms to serve AI models in production environments.
• Partner with cross-functional teams to identify high-impact AI opportunities and translate business requirements into technical solutions.
• Establish monitoring, observability, and governance mechanisms to ensure responsible AI deployment.
• Drive experimentation, innovation, and adoption of emerging AI technologies across the organization.
• Mentor engineers and promote engineering excellence, code quality, and AI best practices.

Requirements:

• Bachelor's or master's degree in computer science, engineering or closely related quantitative discipline.
• Typically, 9-12 years’ experience.

Programming skills:

• Python
• SQL
• Java, Go

AI/ML skills:

• PyTorch
• Scikit-learn
• LangChain

Generative AI skills:

• GPT, Claude, Llama
• Prompt Engineering
• Fine-tuning
• RAG
• Agentic AI
• Vector Databases

Cloud & MLOps skills:

• Public Cloud (AWS/Azure)
• Kubernetes
• Docker
• MLflow
• CI/CD

Good To Have Skills:

• Storage Domain Skills (Block/Object/File Storage)
• MLOps and LLMOps platform experience.
• GPU orchestration, model optimization, and inference scaling.
• Enterprise AI governance and evaluation frameworks.
• Experience building platforms supporting multiple AI products and teams